Secure Enterprise AI with Private GPT (No Data Risk)
What You Will Learn In This Webinar
- How to implement Private GPT for enterprises securely
- The biggest AI data security risks and how to avoid them
- Proven frameworks for AI governance and compliance
- How leading companies scale enterprise AI without exposing sensitive data
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Limited seats availableWebinar Agenda – Secure AI Implementation
What You Will Learn
AI Risk Assessment Framework
Evaluate where your current AI usage exposes data risk
Private GPT Implementation Blueprint
Step-by-step guide to deploying secure enterprise AI systems
Enterprise AI Governance Model
Policies for AI compliance, control, and security
Use Case Clarity
Identify where AI delivers value without security risks
Actionable Roadmap
Move from AI experimentation to secure production deployment
Your Expert Guides
Manish Kungwani
CTO, Bloom Consulting ServicesManish Kungwani is the Director at Bloom Consulting Services with 13+ years of experience in Cloud and DevOps engineering. He has led 300+ successful projects across 20+ industries, helping businesses scale faster on AWS, Microsoft Azure, and Google Cloud.
Arnav Dutta
Azure AI ArchitectArnav is our Azure AI Architect with 10+ years of experience in cloud, AI, and security. Leads AI and LLM-Ops initiatives, specializing in secure enterprise AI, Kubernetes, and DevSecOps, helping organizations build responsible and scalable AI ecosystems.
Trusted by Global
Businesses
"Manish and his team at Bloom helped us automate CI/CD on AWS, which significantly improved our release speed and deployment reliability. Their observability setup also gave us better visibility into system performance and costs."
"Bloom strengthened our AWS DevOps foundation with Kubernetes and SRE best practices. The result was improved system stability, scalability, and smoother operations as we grew."
"Manish and his team implemented secure Azure DevOps pipelines aligned with our compliance standards. Their DevSecOps approach helped standardize deployments across teams while maintaining strong security controls."
"Bloom improved our Azure cloud visibility through strong monitoring and cost optimization. Their observability framework helped us better track performance and resource usage."
"Bloom supported Azure DevOps automation with a strong focus on reliability and security. We saw more consistent deployments and improved operational stability over time."
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Frequently Asked Questions
What is Private GPT in enterprise AI?
Private GPT refers to deploying AI models where enterprise data remains secure, ensuring privacy, compliance, and full control.
Is this webinar technical or strategic?
This session covers both enterprise AI strategy and practical implementation insights.
Will you cover Azure OpenAI and Copilot security?
Yes, we will discuss Azure OpenAI security, Copilot, and other tools in the context of secure enterprise AI deployment.
Is this relevant for companies starting with AI?
Yes. This is ideal for organizations exploring secure AI adoption and avoiding early-stage risks.
Will there be real-world use cases?
Yes, we will cover real-world enterprise AI use cases and implementation strategies.
How is this different from other AI webinars?
Most webinars focus on capabilities. This focuses on AI security, governance, and risk mitigation.
Will there be a Q&A session?
Yes, we will have a live Q&A focused on enterprise AI challenges.
Is this webinar free?
Yes, this is a free webinar on secure enterprise AI implementation.
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